Design Of Wearable Digital Sports Training Platform And Its Implementation

These years,the sports enterprise development has been widely respected,as well as,sports culture gradually close to life,so the selection of players reserve pool for Olympic Games from the teenagers become imperative in our country.For the sake of fairness and justice to the teenager selection,the sports system gradually introduced the ideas of "digital sports",combining with the advanced information technology and network technology.Using sensors to monitor attitude information,make the training and selection parametrically,scientifically and digitally.There are two ways to monitoring attitude,non-wearable and wearable.The nonwearable monitoring mode needs not to contact with the test person,which is usually positioned with image or signal wave,but it is higher requirements of measuring scenario.While the wearable monitoring methods requires the sensor to be worn on the test person,so the sensors should be light low-energy enough in order to avoid impact on sports.Therefore,this article designs and implements an application system which can parameterize the training attitude,low energy and easy to use.This article has proposed a wearable digital sports training system,based on MEMS sensor,and put forward solutions to the problems,such as the accuracy of sports posture,scientific of training and analysis of joint injury.First of all,referred to the knowledge of human body posture measurement and human body model,setting up a modifiable human body model can be parameterized.Then according to wearable human attitude monitoring theory,the Quaternions and the Euler angles are used to determine the relationship between collection data and human gesture.It is based on that existing theory and propose the general design scheme of this system,including the attitude data acquisition module,the wireless communication module and the application software.This article referred to the human body model to build joint force model to analyze training data.Due to the wide variation of various sports items,the attitude data collected from the long jump project was selected to analyze the accuracy of training movements,the scientific method of training methods.Secondly,the overall design of the attitude data acquisition device,including a hub station and several nodes,nodes will preprocess the collected data by filtering or else methods,then send it to hub station by wireless mode,after that it will be uploaded to the software platform.Finally,the overall framework of the software platform includes several client and a server.The functions of the client mainly include user management,the construction of human model in 3D scene and the method of scene realization,database and data management,data analysis,etc.The cloud server contains multi-threading data access to the clients,and realize sports resources digitized.It is shown that this system can achieve the purpose of provide training solution for athletes.